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Collision-free Control Barrier Functions for General Ellipsoids via Separating Hyperplane

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

This paper presents a novel collision avoidance method for general ellipsoids based on control barrier functions (CBFs) and separating hyperplanes. First, collision-free conditions for general ellipsoids are analytically derived using the concept of dual cones. These conditions are incorporated into the CBF framework by extending the system dynamics of controlled objects with separating hyperplanes, enabling efficient and reliable collision avoidance. The validity of the proposed collision-free CBFs is rigorously proven, ensuring their effectiveness in enforcing safety constraints. The proposed method requires only single-level optimization, significantly reducing computational time compared to state-of-the-art methods. Numerical simulations and real-world experiments demonstrate the effectiveness and practicality of the proposed algorithm. ©2025 by IEEE.
Original languageEnglish
Title of host publication2025 IEEE/RSJ International Conference on Intelligent Robots and Systems - Conference Proceedings
PublisherIEEE
Pages19637-19644
ISBN (Print)979-8-3315-4393-8
DOIs
Publication statusPublished - Oct 2025
Event2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025) - Hangzhou, China, Hangzhou, China
Duration: 19 Oct 2025 → 25 Oct 2025
https://www.iros25.org/
https://ieeexplore.ieee.org/xpl/conhome/11245651/proceeding

Conference

Conference2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
PlaceChina
CityHangzhou
Period19/10/25 → 25/10/25
Internet address

Funding

This work was supported in part by the National Natural Science Foundation of China under Grants 62373314/62222318, and in part by the Research Grants Council of the Hong Kong Special Administrative Region of China under Projects CityU/11210424 and CityU/11207323.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

RGC Funding Information

  • RGC-funded

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